{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extraction of prosody features from audio files\n",
    "\n",
    "Compute prosody features from continuous speech.\n",
    "\n",
    "103 features are computed:\n",
    "\n",
    "Num     Feature                                                          Description\n",
    "\n",
    "--------------------------------------------------------------------------------------------------------------------------\n",
    "                                Features based on F0\n",
    "                                \n",
    "---------------------------------------------------------------------------------------------------------------------------\n",
    "1-6     F0-contour                                                       Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "7-12    Tilt of a linear estimation of F0 for each voiced segment        Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "13-18   MSE of a linear estimation of F0 for each voiced segment         Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "19-24   F0 on the first voiced segment                                   Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "25-30   F0 on the last voiced segment                                    Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "--------------------------------------------------------------------------------------------------------------------------\n",
    "                                Features based on energy\n",
    "                                \n",
    "---------------------------------------------------------------------------------------------------------------------------\n",
    "31-34   energy-contour for voiced segments                               Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "35-38   Tilt of a linear estimation of energy contour for V segments     Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "39-42   MSE of a linear estimation of energy contour for V segment       Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "43-48   energy on the first voiced segment                               Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "49-54   energy on the last voiced segment                                Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "55-58   energy-contour for unvoiced segments                             Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "59-62   Tilt of a linear estimation of energy contour for U segments     Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "63-66   MSE of a linear estimation of energy contour for U segments      Avg., Std., Skewness, Kurtosis\n",
    "\n",
    "67-72   energy on the first unvoiced segment                             Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "73-78   energy on the last unvoiced segment                              Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "--------------------------------------------------------------------------------------------------------------------------\n",
    "                                Features based on duration\n",
    "                                \n",
    "---------------------------------------------------------------------------------------------------------------------------\n",
    "79      Voiced rate                                                      Number of voiced segments per second\n",
    "\n",
    "80-85   Duration of Voiced                                               Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "86-91   Duration of Unvoiced                                             Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "92-97   Duration of Pauses                                               Avg., Std., Max., Min., Skewness, Kurtosis\n",
    "\n",
    "98-103  Duration ratios                                                  Pause/(Voiced+Unvoiced), Pause/Unvoiced, Unvoiced/(Voiced+Unvoiced),\n",
    "                                                                         Voiced/(Voiced+Unvoiced), Voiced/Puase, Unvoiced/Pause\n",
    "\n",
    "---------------------------------------------------------------------------------------------------------------------------\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(\"../\")\n",
    "from prosody.prosody import Prosody"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "prosodyf=Prosody()\n",
    "file_audio=\"../audios/001_ddk1_PCGITA.wav\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract features and return them as a numpy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(103,)\n"
     ]
    }
   ],
   "source": [
    "features1=prosodyf.extract_features_file(file_audio, static=True, plots=True, fmt=\"npy\")\n",
    "print(features1.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract static features and return them as a dataframe "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      1F0ku      1F0max    1F0mean     1F0min    1F0skw    1F0std       F0avg  \\\n",
      "0  6.210762  106.297119  96.801537  94.436989  2.612422  2.823843  103.519859   \n",
      "\n",
      "     F0kurt       F0max      F0min       ...        stdEvoiced  stddurpause  \\\n",
      "0  0.598902  173.218719  80.561127       ...          3.389881          0.0   \n",
      "\n",
      "   stddurunvoiced  stddurvoiced  stdlastEunvoiced  stdlastEvoiced  \\\n",
      "0        0.049385      0.069055          7.232886        2.704041   \n",
      "\n",
      "   stdmseEunvoiced  stdmseEvoiced  stdtiltEunvoiced  stdtiltEvoiced  \n",
      "0        19.314991       0.634663        605.019587       30.365483  \n",
      "\n",
      "[1 rows x 103 columns]\n"
     ]
    }
   ],
   "source": [
    "features1=prosodyf.extract_features_file(file_audio, static=True, plots=False, fmt=\"csv\")\n",
    "print(features1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract dynamic features and return them as a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Ecoef0    Ecoef1    Ecoef2    Ecoef3    Ecoef4    Ecoef5  \\\n",
      "0   105.702776 -0.000302  0.004222  0.027340 -0.569139  1.528803   \n",
      "1   130.392459 -0.002249  0.043573 -0.343251  1.398935 -3.227125   \n",
      "2   114.251205  0.000021 -0.001472  0.037513 -0.430769  1.134978   \n",
      "3   105.637903 -0.000249  0.002923  0.038836 -0.610899  1.577689   \n",
      "4   149.150462  0.001398 -0.039493  0.360269 -1.197304  0.399711   \n",
      "5   113.908886  0.000021 -0.001443  0.036175 -0.410373  1.019496   \n",
      "6   105.632975 -0.000250  0.002927  0.038802 -0.610802  1.577603   \n",
      "7   149.150063  0.001398 -0.039489  0.360243 -1.197224  0.399601   \n",
      "8   114.367517  0.000037 -0.002326  0.052690 -0.536308  1.358722   \n",
      "9   105.640711 -0.000236  0.002534  0.042916 -0.629691  1.613324   \n",
      "10  147.851988  0.003024 -0.072634  0.599051 -1.910331  1.137942   \n",
      "11  103.886557  0.000021 -0.001446  0.036454 -0.414043  1.030153   \n",
      "\n",
      "    Voiced duration  f0coef0   f0coef1   f0coef2   f0coef3    f0coef4  \\\n",
      "0        -16.680449     0.13 -0.001438  0.049014 -0.611440   3.464429   \n",
      "1        -10.421245     0.10  0.012907 -0.337269  3.014453 -10.309874   \n",
      "2        -21.534957     0.27 -0.000033  0.002589 -0.078538   1.182602   \n",
      "3        -16.693646     0.13 -0.001385  0.047502 -0.596194   3.398860   \n",
      "4        -10.789607     0.10 -0.009122  0.219152 -1.980886   8.932986   \n",
      "5        -21.462693     0.28 -0.000021  0.001794 -0.060405   1.023308   \n",
      "6        -16.693637     0.13 -0.001385  0.047508 -0.596216   3.398581   \n",
      "7        -10.789568     0.10 -0.009080  0.218246 -1.974318   8.914847   \n",
      "8        -21.614838     0.25 -0.000050  0.003533 -0.096618   1.330586   \n",
      "9        -16.707985     0.13 -0.001381  0.047351 -0.594175   3.388170   \n",
      "10       -10.783319     0.10 -0.008614  0.205249 -1.836952   8.239092   \n",
      "11       -21.436868     0.32  0.000101 -0.009262  0.278798  -2.905255   \n",
      "\n",
      "      f0coef5  \n",
      "0   -9.160823  \n",
      "1    9.567197  \n",
      "2   -9.237471  \n",
      "3   -9.045794  \n",
      "4  -21.592393  \n",
      "5   -8.829779  \n",
      "6   -9.043444  \n",
      "7  -21.576670  \n",
      "8   -9.752222  \n",
      "9   -9.028888  \n",
      "10 -20.051588  \n",
      "11   6.392563  \n",
      "       Ecoef0    Ecoef1    Ecoef2    Ecoef3    Ecoef4    Ecoef5  \\\n",
      "0  105.702776 -0.000302  0.004222  0.027340 -0.569139  1.528803   \n",
      "1  130.392459 -0.002249  0.043573 -0.343251  1.398935 -3.227125   \n",
      "2  114.251205  0.000021 -0.001472  0.037513 -0.430769  1.134978   \n",
      "3  105.637903 -0.000249  0.002923  0.038836 -0.610899  1.577689   \n",
      "4  149.150462  0.001398 -0.039493  0.360269 -1.197304  0.399711   \n",
      "\n",
      "   Voiced duration  f0coef0   f0coef1   f0coef2   f0coef3    f0coef4  \\\n",
      "0       -16.680449     0.13 -0.001438  0.049014 -0.611440   3.464429   \n",
      "1       -10.421245     0.10  0.012907 -0.337269  3.014453 -10.309874   \n",
      "2       -21.534957     0.27 -0.000033  0.002589 -0.078538   1.182602   \n",
      "3       -16.693646     0.13 -0.001385  0.047502 -0.596194   3.398860   \n",
      "4       -10.789607     0.10 -0.009122  0.219152 -1.980886   8.932986   \n",
      "\n",
      "     f0coef5  \n",
      "0  -9.160823  \n",
      "1   9.567197  \n",
      "2  -9.237471  \n",
      "3  -9.045794  \n",
      "4 -21.592393  \n"
     ]
    }
   ],
   "source": [
    "features1=prosodyf.extract_features_file(file_audio, static=False, plots=False, fmt=\"csv\")\n",
    "print(features1)\n",
    "print(features1.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract dynamic features and return them as a torch tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.float64\n",
      "torch.Size([12, 13])\n"
     ]
    }
   ],
   "source": [
    "features1=prosodyf.extract_features_file(file_audio, static=False, plots=False, fmt=\"torch\")\n",
    "print(features1.dtype)\n",
    "print(features1.size())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract static features from a path return them as a numpy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing 098_u1_PCGITA.wav: 100%|██████████| 4/4 [00:00<00:00, 19.14it/s]      "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4, 103)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "path_audio=\"../audios/\"\n",
    "features1=prosodyf.extract_features_path(path_audio, static=True, plots=False, fmt=\"npy\")\n",
    "print(features1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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